Statistical sampling policy with applications to water pollution

dc.contributor.authorOverbey, John Williamen
dc.contributor.departmentStatisticsen
dc.date.accessioned2016-04-21T15:35:09Zen
dc.date.available2016-04-21T15:35:09Zen
dc.date.issued1969en
dc.description.abstractThis thesis presents a sampling policy which offers the experimenter some statistical grounds upon which to base a decision as to when subsequent stream samples should be taken so as to detect a polluted condition. For any proposed sampling policy, the experimenter, without actually sampling, can evaluate the frequency of required sampling, can obtain a "feel" for how quickly changes in stream conditions can be detected, and can make comparisons with capabilities offered by other proposed sampling policies. Regression analysis of field data was conducted to explore possible relationships between stream dissolved oxygen content and physical factors. The resulting models were incorporated into the above mentioned sampling policy.en
dc.description.degreeMaster of Scienceen
dc.format.extentiv, 58 leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/70534en
dc.language.isoen_USen
dc.publisherVirginia Polytechnic Instituteen
dc.relation.isformatofOCLC# 8605180en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1969.O87en
dc.subject.lcshWater -- Pollutionen
dc.titleStatistical sampling policy with applications to water pollutionen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineStatisticsen
thesis.degree.grantorVirginia Polytechnic Instituteen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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